The System of Models and Optimization of Operating Modes of a Catalytic Reforming Unit Using Initial Fuzzy Information

Abstract

The study aims to develop a system of models and a method for optimizing the operating modes of a catalytic reforming unit using fuzzy information, which makes it possible to effectively control the reforming process of the object under study. The object of study of this work is a catalytic reforming unit that has been operating for more than half a century and is characterized by the lack of clarity of some part of the initial information. The research methods are methods of system analysis, mathematical modeling, multicriteria optimization, and expert assessments, as well as methods of theories of fuzzy set theories, which allows formalizing and using fuzzy information, as well as experimental-statistical methods. As a result of the conducted research, the following main results were obtained. Based on a systematic approach, an effective methodology has been developed for developing a system of models of interconnected plant units using various types of available information, including fuzzy information. Using the proposed method, hybrid models have been developed to determine the volume of the produced catalyzate and its quality indicators. A scheme has been constructed for combining the developed models of the main units of the catalytic reforming unit into a single package of models. The built system of models makes it possible to systematically simulate the operation of the plant under study and improve the efficiency of the facility by increasing the volume of target products produced and improving its quality indicators. A statement of the problem of multicriteria optimization is obtained, taking into account the partial fuzziness of the initial information, and a heuristic method for its solution is developed, which is based on the use of knowledge, experience, and intuition of the decision-maker. The results of modeling and optimization show the effectiveness of the proposed fuzzy approach.

Heuristic Approach to Fuzzy Control of the Reforming Process in Refining and Geology

“…The catalytic reforming process is designed to produce high quality motor fuels -high-octane motor road vehicle gasoline, household gas and raw materials for petrochemical synthesis (Orazbayev, et al, 2022). A number of papers are known on the development and improvement of modeling and control approaches for the catalytic reforming process (Gumen, 2018, Orazbayev, et al, 2022, Panchenkov, 2018, Rubekin, 2018, Zhorov, 2017, Nazarova, et al, 2020.…”

“…The catalytic reforming process is designed to produce high quality motor fuels -high-octane motor road vehicle gasoline, household gas and raw materials for petrochemical synthesis (Orazbayev, et al, 2022). A number of papers are known on the development and improvement of modeling and control approaches for the catalytic reforming process (Gumen, 2018, Orazbayev, et al, 2022, Panchenkov, 2018, Rubekin, 2018, Zhorov, 2017, Nazarova, et al, 2020. The following is implemented in the known systems of the catalytic reforming process control: optimal temperature distribution at the inlet of reforming reactors (Rakhmetov, et al, 2022); optimization of process modes of the reforming unit operation (Bekibayev, et al, 2022), catalyst quality control in the stabilization unit of the catalytic reforming unit (Dzhambekov, et al, 2022); situational control of the reforming process (Moldasheva, et al, 2022).…”

“…to produce high quality motor fuels -high-octane motor road als for petrochemical synthesis (Orazbayev, et al, 2022). A t and improvement of modeling and control approaches for Orazbayev, et al, 2022, Panchenkov, 2018, Rubekin, 2018 wing is implemented in the known systems of the catalytic distribution at the inlet of reforming reactors (Rakhmetov, et reforming unit operation (Bekibayev, et al, 2022), catalyst alytic reforming unit (Dzhambekov, et al, 2022);situational t al., 2022). These and other works insufficiently study and the reforming process in a fuzzy environment.…”

“…Since the problem of controlling the modes of the research object operation is characterized by multi-criteria and fuzziness of constraints the methods of modeling, multi-criteria optimization and decision making (Orazbayev et al, 2019:, Orazbayev, et al, 2022, Nazarova, et al, 2020, Bekibayev, et al, 2022, Makhazhanova, et al, 2020, Ospanov, et al, 2016, methods of fuzzy set theories and expert evaluations (Orazbayev, et al, 2022, Dzhambekov, et al, 2022, Orazbayev, et al, 2020:, Turekulova, et al, 2022, Jovanovic, et al, 2022, Gutsykova, et al, 2017 are applied for formulation and solution of this problem in a fuzzy environment.…”

“…Since the problem of controlling the modes of the research obje criteria and fuzziness of constraints the methods of modeling, multi-cr (Orazbayev et al, 2019:, Orazbayev, et al, 2022, Nazarov 2022, Makhazhanova, et al, 2020, Ospanov, et al, 2016, methods of f (Orazbayev, et al, 2022, Dzhambekov, et al, 2022, Orazbayev, e Jovanovic, et al, 2022, Gutsykova, et al, 2017 are applied for formu fuzzy environment.…”